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Course Outline
Introduction to Legal AI and Fine-Tuning for Government
- Overview of legal technology and its evolution in the public sector
- Applications of Natural Language Processing (NLP) in law: contracts, case law, and compliance
- Benefits and limitations of using pre-trained models in legal domains for government
Preparing Legal Data for Fine-Tuning for Government
- Types of legal documents: contracts, terms, case law, and statutes
- Text cleaning, segmentation, and clause extraction techniques
- Annotating legal data for supervised learning in government contexts
Fine-Tuning NLP Models for Legal Tasks for Government
- Choosing a pre-trained model: BERT, LegalBERT, RoBERTa, etc., tailored for government use
- Setting up a fine-tuning pipeline with Hugging Face for government applications
- Training on legal classification and extraction tasks relevant to public sector operations
Contract Review Automation for Government
- Detecting clause types and obligations in government contracts
- Highlighting risk terms and compliance issues specific to government regulations
- Summarizing long contracts for quick review by government officials
Legal Research Assistance with AI for Government
- Information retrieval and ranking for case law in the public sector
- Question answering on statutes and regulations applicable to government operations
- Building a legal document chatbot or assistant for government use
Evaluation and Interpretability for Government
- Metrics: F1, precision, recall, accuracy in the context of government legal tasks
- Model explainability in high-stakes legal contexts for government
- Tools for clause-level confidence scoring and auditing in government applications
Deployment and Integration for Government
- Embedding models in legal research platforms or review tools used by government agencies
- APIs and interface considerations for law firm use in the public sector
- Maintaining privacy, version control, and update workflows in government systems
Summary and Next Steps for Government
Requirements
- An understanding of natural language processing fundamentals
- Experience with Python and machine learning libraries, such as Hugging Face Transformers
- Familiarity with legal texts and basic legal document structures
Audience
- Legal tech engineers for government and private sectors
- AI developers working in law firms and governmental agencies
- Machine learning professionals focused on processing legal data for government and other organizations
14 Hours